What does this built in failure recovery mean, functionally?
I mean consider e.g. some code in a standard Rails monolith raises an Exception. The exception bubbles up and is caught by a middleware that displays a status 500 page. Isn't that basically failure recovery too?
Or for the same Rails monolith, one worker process hits bad code that eats memory until it is killed by an OOM-killer. Unicorn/puma notices that the worker process is missing and restarts it. Is that more analogous? In either case the request is failed but the server pretty much "recovers", ready to accept new requests.
So what is unique about the supervised processes with built-in failure recovery approach? Or am I viewing this at the wrong level of resolution or something?
He does attribute, right in the second line of the whole piece:
>> The more skills we have, the more odds we have to become successful. I like how Scott Adams, the creator of Dilbert, explains the concept of Skill Stacking ...
they can probably see it just fine, and they know it won't hurt them. "iPad" was a name lampooned for years before iPads were ever a thing, and that seems to be doing just fine too.
I've thought that drone swarms are an "obviously" good idea, but that assumed that the communications/navigation were not easily spoofed. Then Iran captured one of the US's most advanced drone, pretty much intact. Now I'm not so sure.
That is interesting, but isn't there a point in the house selling process where they look for every party that might have an interest in the house and such? I mean I think that is part of the chunk of paperwork that realtors / title search companies or whatever do, right? What happened then?
I kind of agree with you, but what does positive "coordinated social change" look like? I can only think of negative ones, like those that occurred with radical political changes, or else explicit/thinly-veiled marketing campaigns for consumer goods..
I would love to see how fast this can be done by a customized self driving car. (think: full knowledge of track geometries, of its own physical specifications, etc..)
And how would you suggest that these many hubs differentiate themselves to compete for your business? If your answer is "they can compete on price," then I think you've just answered the question of why they don't want to do it that way.
For those interested in paying for a product that does something like this, there is https://sense.com/ for residential or http://verdigris.co/ for commercial/industrial applications.
Given that this was an event organized by the Dallas and Atlanta Federal Reserve Banks, we should consider the possibility that the CEOs were simply trying to encourage the Fed to keep interest rates low.
They appear to be a research firm specializing in reporting on companies to which they own short positions.
If you go to read their articles at http://www.aureliusvalue.com/ you are immediately presented with a TOS that basically says as much. The TOS also makes some disclaimers that looks to be aimed at reducing the risk of them being held liable for spreading false/harmful information.
So given all this, It is only prudent to be skeptical.
It does mean things run warmer, but generally moderately specc'ed pcs don't generate enough heat and have enough reliability margin that it is not a problem. If you were some game enthusiast or crypto miner running multiple flagship GPUs on an 850W power supply, then I probably would not recommend this approach.
In the past when I tried to build a silent PC, I found that even after removing / stopping all the fans, there was still often an electronic humm or buzz left over. That is when I gave up.
Later I changed desks to one that had one of those built in computer cabinets made of thick particle board. That did as much to silence a pc as all the tens of hours of effort I had put into meticulously researching and specc'ing the build before.
Tim Draper probably understands, privately, that Theranos is an unrecoverable loss. Privately, he has probably learned a lesson about doing better due diligence going forward. Publicly, he is doing what he thinks will benefit him the most: he is signalling to all prospective future investments, that, "If you take my money, I will stand by you through thick and thin." Some future founders might be turned off by this, but some will probably see it as invaluable.
"AI majors will receive the same solid grounding in computer science and math courses as other computer science students. In addition, they will have additional course work in AI-related subjects such as statistics and probability, computational modeling, machine learning, and symbolic computation."
Part of the point of keeping cash around though, is that you don't want your buying power to be correlated with market movements. It is entirely possible/likely that the next good deal that comes up does so in the middle of a market meltdown. Just see the deals he made buying during the 2008 financial crisis.
That is a really neat "video". I see that it is mostly just 3d-transformed LayerJS, but did you use any particular tools to do it? Whether to help fine-tune the desired 3d angles or to designate where animation parts fire on the applicable timeline, etc ?